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Declarative statistical visualization library for Python
Updated rdkit benchmarking platform of Riniker and Landrum
Bayesian optimization in PyTorch
Package to fix chain breaks in PDB files
Code to extract machine learning features from proteins using Chimera
Attempts to fix some problems in PDB files
Tools for using chop to preprocess a protein
Stats on recruiting vs. on-field success for D1 teams
Code for a workshop on statistical interference using computational methods in Python.
fast.ai Courses
T-SNE plotting of COVID submissions to covid.postera.ai/covid
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A Deep Learning based project for colorizing and restoring old images
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
The fastai deep learning library, plus lessons and and tutorials
FESetup for automation of alchemical free energy simulation
A highly efficient and modular implementation of Gaussian Processes in PyTorch
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hockey analytics
Implemented an Elo Rating system using 538's methodology that I used to predict outcome of Ivy League football
Build a Jekyll blog in minutes, without touching the command line.
Command line tool providing BOSS generated OPLS-AA/CM1A(-LBCC) parameters for organic molecules and ligands.
Supporting Information for Ring Opening Metathesis Polymerization of a 7-oxabicyclo[2.2.1]hept-5-ene derivative using Grubbs’ Catalyst
A simple implementation of a graph convolutional network (gcn) for chemistry
Convolutional nets which can take molecular graphs of arbitrary size as input.
attempts to use BioPandas to remediate some issues with PDB files
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.